Rewrite analysis as streaming rollout-vs-reference plotting pipeline

Replace the monolithic giant/analysis.py (predict-local + RolloutVsTruth
diagnostics) with a lean giant/analysis/ package that compares one
autoregressive `giant rollout` for a checkpoint against a held-out
miniCaloSim reference file, and generates publication-styled plots in
parallel on HTCondor.

Rollout output and a raw reference file share a world-frame physical
column subset under identical names, so the old ALR/local-frame decode
machinery is gone — everything is world-frame mm/MeV.

- sources.py: canonical LazyFrames, synthetic-termination-row filtering,
  the secondary view (rollout generation>0 tracks vs reference sec_*_list).
- reduce.py: streaming primitives — a single hist1d group_by pass, per-event
  scalars, edep-weighted depth/transverse profiles, species share, leakage.
- context.py/grouping.py: prep resolves fixed bin edges + energy/pdg/material
  group sets once into shared.json, so each compute job is one pass, no range
  scan (histogram efficiency).
- catalog.py: declarative PlotSpec registry — marginals x {overall,energy,pdg,
  material}, per-event totals, shower profiles, species/leakage, secondaries.
- render.py: the only plotstyle/LaTeX importer; PDFs + gallery metadata.
- condor.py + `giant analyze` CLI (prep/compute-one/list/render/submit):
  one job per plot, compute/render split (workers polars-only, no LaTeX).

Styling via ETPlot's plotstyle (added to the analysis extra). New tests cover
the reduce primitives, catalog id uniqueness + compute, condor submit, and a
guarded render smoke test. Delete the two predict-diagnostics notebooks.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

pyproject.toml

@@ -39,6 +39,9 @@ analysis = [
     "matplotlib>=3.8,<4",
     "polars>=1.0,<2",
     "ipykernel>=7.3.0",
+    # ETPlot's plotstyle (KIT matplotlib theme) + gallery CLI. Only the local
+    # `giant analyze render` step imports it; compute workers never do.
+    "gallery[plotting]",
 ]
 
 [project.scripts]
@@ -65,6 +68,10 @@ torch = [
     { index = "pytorch-cpu", extra = "cpu" },
     { index = "pytorch-cu118", extra = "cuda" },
 ]
+# ETPlot ships the `gallery` distribution (which provides the `plotstyle`
+# package under its `plotting` extra). Local checkout next to this repo; swap
+# for `{ git = "https://git.larsbogner.de/lars/ETPlot" }` off-machine.
+gallery = { path = "../ETPlot", editable = true }
 
 [[tool.uv.index]]
 name = "pytorch-cpu"